The use case: how incident.io deploys Common Room
incident.io's RevOps lead uses Common Room's DataAgent to find and fix CRM data problems in Salesforce, including duplicate accounts, outdated contacts and contacts not matched to any account. This lets a one-person RevOps function keep the data reliable without a dedicated data hire.
Figures in the source
Figures published in Common Room’s case study. They are not independently measured by usedby.
3,700 of 19,000 “Unknown Company” contacts were matched to real accounts
Account duplicates dropped from ~3% to ~0.8% across 140,000+ accounts
In the customer’s words
I wouldn’t say minutes versus hours. I’d say minutes versus days — or weeks.Common Room was a breakthrough. Now I have a tool that feels like it was built for prospecting—something I can put in the hands of every BDR and every AE.Other AI tools used by incident.io
Other public relationships recorded on usedby.
Explore incident.io’s AI stack
Common Room users in DevTools & Infrastructure
Companies in the same sector, with public evidence.
AnyscaleConfirmed
Apollo GraphQLConfirmed
NorthflankConfirmed
PulumiConfirmed
ReplitConfirmed
SuperhumanConfirmedGo straight to the source
Based on Common Room’s published case study. We check the public evidence; the results are reported by the vendor.
commonroom.io- Source published
- May 20, 2026
- Last checked
- Oct 7, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of incident.io.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- incident.io uses Common RoomChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Account duplicates dropped from ~3% to ~0.8% across 140,000+ accounts, and continue to trend lower as new duplicates are caught on a rolling basis.